Min Chen
Chief AI Officer at LexisNexis with a long career leading data science and machine learning teams; led development of LexisNexis's GraphRAG, agentic workflows, and proprietary evaluation metrics for legal AI.
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Feb 18, 2026 • 36min
LexisNexis on Why Standard RAG Fails in Law
Min Chen, Chief AI Officer at LexisNexis and longtime leader in legal ML, explains why standard RAG breaks for law and how GraphRAG and point-of-law graphs provide authoritative grounding. She describes their 8-part Usefulness Score, agentic workflows like Planner and Reflection agents, and deterministic checks for hallucination detection. Practical, execution-focused breakdowns of deploying AI in zero-error legal settings.
